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- W3115346918 abstract "Summary The development of digital algorithms that allow you to automate certain interpretation tasks makes it much easier to solve geological problems. The main difficulty of automatic algorithms in complex geological conditions is related to the multivariance of interpretation and, as a result, possible errors that can introduce ambiguity in further interpretation. The use of machine learning methods and Reverse Time Holography can help in solving this problem, as well as reduce the amount of work performed manually by the interpreter and improve the accuracy of the results." @default.
- W3115346918 created "2021-01-05" @default.
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- W3115346918 date "2020-01-01" @default.
- W3115346918 modified "2023-09-27" @default.
- W3115346918 title "Using machine learning algorithms for the interpretation the results of seismic data processing using the RTH method on the example of a field in Eastern Siberia" @default.
- W3115346918 doi "https://doi.org/10.3997/2214-4609.202054009" @default.
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